Accelerate biotechnology

In silico cost modeling

We often perform in silico cost modeling of manufacturing processes for viral vector products for which we typically use the BioSolve Process software package, developed and marketed by Biopharm Services.

The in silico modeling of production processes helps us to quickly make well-informed decisions, saving time and resources during the development phase and manufacturing of viral vectors. The software integrates up-to-date information from across the biopharmaceutical sector with the latest industry-benchmarked price information for materials, consumables and equipment.

Benefits of in silico cost modeling

In silico cost modeling is a pivotal tool to understand cost implications of technology and process choices. It allows the design of the most cost-effective process steps and selection of optimized technologies in support of the process under development. In silico modeling helps to substantially reduce risks by quickly carrying out multiple process comparison analyses and facility utilization assessments. We use the BioSolve Process software package to help develop business cases for novel and innovative technologies or process options. With the many analysis tools available, we perform analyses of multiple process comparison before presenting our optimized, most cost-effective solution. Next to using in silico modeling for novel processes, we have also successfully deployed the system to optimize existing biopharmaceutical manufacturing platforms. Our in silico modeling services provide us and our customers with the flexibility to:

  • Change manufacturing scale from clinical to commercial
  • Determine whether a process will fit in preset facility designs
  • Compare process choices and technologies from a cost perspective
  • Plot diverse technology options to identify best fit
  • Configure any type of viral vector process on upstream processing and downstream processing
  • Design improved processes and screening technologies

With our in silico modeling expertise and software systems, we are able to save significantly on manufacturing costs by understanding cost structures early in the development of non-platform processes and platform processes.

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